Location: Trinity College Dublin
Level: PhD


Contract: Specific Purpose Contract – Full-time (12 months)

Salary: €38,631 - €57,430 (depending on experience)

Hours of Work: 37 (Full Time)

Closing Date: 2 Dec 2020 (or until filled)

Click HERE to apply

Post Summary

This is a unique opportunity to join a research group that has pioneered Social Network research. You will be working with TCD, ADAPT and EU wide researchers researching and designing novel methods to study and create a Heterogeneous Social Network graph (HSN) that empower trustworthiness.

The successful candidate will work alongside the best and brightest talent in language technologies, content analytics, data analytics, adaptivity, personalisation, interoperability, translation, localisation and information retrieval. As a university-based research centre, ADAPT also strongly supports continuous professional development and education. In ADAPT you will develop as an engineer, technically and scientifically. In addition, ADAPT will support candidates to enhance their confidence, leadership skills and communication abilities.

Background to HELIOS

Imagine a new platform for building your own decentralised social media apps on Android allowing users to connect with people, stores, institutions, and even sensors according to their interests, location or availability, and giving the control and ownership of data back to the user generating content. Imagine the possibility of developing your apps with all these features and more in the safest possible way also allowing tools to monetise content and data. That is helios!

Funded by the European Commission under the H2020 Programme, the helios project is investigating and developing multiple technologies to make this possible with novel concepts for social graph creation and management grounded in trust and transparency.

Background on ADAPT

The ADAPT Centre, a world-leading SFI Centre, is Ireland’s global centre of excellence for digital content technology funded through Science Foundation Ireland’s Centres programme. ADAPT combines the expertise of over 300 researchers across eight Higher-Education Institutes (Trinity College Dublin, Dublin City University, University College Dublin, Technological University Dublin, Cork institute of Technology, Athlone Institute of Technology, Maynooth University and National University of Ireland, Galway) with that of its industry partners to produce ground-breaking digital content innovations.  The ADAPT Centre executive function is co-hosted between Trinity College Dublin and Dublin City University.

ADAPT brings together more than 300 researchers who collectively have won more than €100m in funding and have a strong track record of transferring world-leading research and innovations to more than 140 companies. ADAPT partners are successfully advancing the frontiers of Artificial Intelligence (AI), content analysis, machine translation, personalisation, e-learning/education, media technologies, virtual and augmented reality, and spoken interaction, as well as driving global standards in content technologies.

Informal enquiries about this post should be made to by e-mail to: Kevin Koidl kevin.koidl@adaptcentre.ie

Standard Duties and Responsibilities of the Post

Reporting to his/her Principal Investigator the Researcher will:

  • Conduct a specified EU funded programme of research under the supervision and direction of the Principal Investigator (PI)
  • Support the PI in the design, development and implementation of the research programme
  • Conduct research in the areas of Heterogeneous Social Networks within Smart Environments and Devices (Smart Sensors)
  • Substantially contribute to the identification of external funding sources and assist in the writing of grant proposals
  • Mentor, assist and supervise postgraduate research students as required
  • Assist the PI in the management/co-ordination of key aspects of the research programme (e.g. financial management, reporting, equipment management, etc.)
  • Engage in the dissemination of the results of the research in which he/she is engaged to the wider research community with the support and under the supervision of the Principal Investigator
  • Engage in appropriate training and development opportunities as required by the Principal Investigator, the School or Research Centre, or the University
  • Engage with internal and external stakeholders including academic and industry partners/collaborators as appropriate
  • Carry out administrative work associated with the programme as necessary
  • Produce top-quality journal and conference publications, in collaboration with the Principal Investigator (PI)
  • Support the PI in consortium meetings throughout the European Union

Funding Information

This position is funded through EU H2020 Projects

Person Specification


  • The candidates must have a PhD in Computer Science or related area preferably in a Social Network related research area
  • Publications in the main conferences/journals (e.g. WWW, Social Media & Society, CHI, Hypertext, UMAP, Web Intelligence, Web Science, etc.) as well as strong interest in trust related behaviour science and context providing smart environments is required

Knowledge & Experience (Essential & Desirable)


  • Experience and/or strong interest in IoT based sensor technology (Smart Environments)
  • A record of international peer-reviewed publication and presentation in top-tier conferences
  • Strong interest in and knowledge in Machine Learning based on Smart/Personal Device  Sensor data 
  • Strong interest in and knowledge of Heterogeneous Social Networks
  • Strong interest in trust related aspect within the design and management of Social Networks (i.e. behavioural science, reputation, scoring and rating)
  • Participation in writing of grant applications
  • Mentoring of research students
  • Desire to learn about new products, technologies and keep abreast of new products and technical and research developments


  • Interest in detecting and creating ad-hoc social networks based on sensor data.
  • Interest in visualisation of dynamic social networks (real-time graph visualisation) 
  • Experience in extracting the main factor of a trust model based on the reputation of users and/or objects
  • Experience in conducting survey and lab studies to understand trustworthiness in relation to social networks

Skills & Competencies

Excellent written and oral proficiency in English
Strong communication and interpersonal skills, both written and verbal


  • Competitive salary and equity
  • Computer and peripherals of your choice
  • A fast-paced environment with impactful work
  • Pension
  • Day Nursery
  • Travel Pass Scheme
  • Bike to Work Scheme
  • Employee Assistance Programme
  • Sports Facilities
  • 22 days of Annual Leave
  • Paid Sick Leave
  • Training & Development
  • Staff Discounts

Application Procedure

Applicants should submit a full Curriculum Vitae to include the names and contact details of 2 referees (including email addresses), together with a CV, cover letter (1x A4 page) via the folloing link: https://apply.adaptcentre.ie/apply.php?jobID=RFHELIOS  

Applicants should reference RF HELIOS in their application